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TNN
2008
88views more  TNN 2008»
14 years 11 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
TNN
2008
138views more  TNN 2008»
14 years 11 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
TVCG
2008
192views more  TVCG 2008»
14 years 11 months ago
Heads Up and Camera Down: A Vision-Based Tracking Modality for Mobile Mixed Reality
Anywhere Augmentation pursues the goal of lowering the initial investment of time and money necessary to participate in mixed reality work, bridging the gap between researchers in ...
Stephen DiVerdi, Tobias Höllerer
ETS
2000
IEEE
182views Hardware» more  ETS 2000»
14 years 11 months ago
Conferencing in communities of learners: examples from social history and science communication
A commonly encountered view of computer conferencing focuses on peer interaction, student empowerment and a shift in both teacher and student roles. This paper argues that this vi...
Ann C. Jones, Eileen Scanlon, Canan Tosunoglu Blak...
ML
2000
ACM
150views Machine Learning» more  ML 2000»
14 years 11 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew